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In this paper modified signals obtained by means of an optimization algorithm are used for identification procedures in a previous developed small-scale active magnetic bearing (AMB) test rig. Such an iterative algorithm reduces the crest factor of the original signal allowing higher energy injection into the system, yielding a higher signal-to-noise ratio if compared with general broadband excitation signals (swept, white noise, impulse, etc.). The results are compared with the well known stepped sine, which has the ability to concentrate the energy in a unique desired frequency, however at the cost of a significant increase of the total experiment time.

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Booktitle: Proceedings of ISMB17